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ECML
2007
Springer
14 years 24 days ago
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass
CDC
2009
IEEE
285views Control Systems» more  CDC 2009»
13 years 6 months ago
Adaptive randomized algorithm for finding eigenvector of stochastic matrix with application to PageRank
Abstract-- The problem of finding the eigenvector corresponding to the largest eigenvalue of a stochastic matrix has numerous applications in ranking search results, multi-agent co...
Alexander V. Nazin, Boris T. Polyak
CEC
2010
IEEE
13 years 7 months ago
Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling
Abstract— We present a unifying framework for continuous optimization and sampling. This framework is based on Gaussian Adaptation (GaA), a search heuristic developed in the late...
Christian L. Müller, Ivo F. Sbalzarini
CHI
2009
ACM
14 years 9 months ago
Adaptive pointing: implicit gain adaptation for absolute pointing devices
Werner A. K?nig HCI-Group, University of Konstanz Box-D73, Universit?t Konstanz 78457 Konstanz, Germany werner.koenig@uni-konstanz.de Jens Gerken HCI-Group, University of Konstanz ...
Harald Reiterer, Jens Gerken, Stefan Dierdorf, Wer...
SASO
2010
IEEE
13 years 6 months ago
Self-Adaptive Resource Allocation in Open Distributed Systems
In an open distributed system, computational resources are peer-owned, and distributed over time and space. The fact that these resources can dynamically join or leave the system (...
Xinghui Zhao, Nadeem Jamali